{"author":{"name":"Nikita Kozodoi","slug":"nikita-kozodoi","article_count":1,"latest_published_at":"2026-04-14T15:45:09.11+00:00","profile_url":"https://vff.ai/authors/nikita-kozodoi","api_url":"https://vff.ai/api/authors/nikita-kozodoi"},"articles":[{"slug":"from-isolated-alerts-to-contextual-intelligence-agentic-maritime-anomaly-analysi","title":"Windward uses AI agents to automate maritime anomaly investigation","url":"https://vff.ai/article/2026/04/14/from-isolated-alerts-to-contextual-intelligence-agentic-maritime-anomaly-analysi","content_type":"aggregated_news","summary":"Windward, a maritime AI company, partnered with AWS to build an agentic system that automatically contextualizes maritime anomalies by correlating vessel behavior alerts with weather, news, and proprietary data. The solution reduces manual investigation time for analysts by automating data collection and synthesis, allowing domain experts to focus on decision-making rather than gathering information. The system integrates generative AI to produce comprehensive risk assessments from multiple data sources in a unified workflow.","published_at":"2026-04-14T15:45:09.11+00:00","updated_at":"2026-04-22T00:59:04.768177+00:00","source":{"url":"https://aws.amazon.com/blogs/machine-learning/from-isolated-alerts-to-contextual-intelligence-agentic-maritime-anomaly-analysis-with-generative-ai/","name":"AWS Machine Learning Blog"},"featured_image":{"url":"https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2026/03/24/ML-18948-image-1.png","alt":null},"categories":[]}]}